Cove Forge, PA
How exposed is Cove Forge to wildfire?
USFS scores Cove Forge at the 52nd national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 72 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Cove Forge at the 50th percentile, close to its 52nd-percentile risk score.
Cove Forge's building exposure, zone by zone
72 buildings are counted in Cove Forge, and 100% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Cove Forge against the rest of the country
Cove Forge's 87th-percentile standing inside Pennsylvania outpaces its 52nd national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Cove Forge ranks 15,044 for wildfire risk (1 is highest) and 30,224 by building count (1 is largest). Within Pennsylvania alone, it ranks 266 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Cove Forge
Cove Forge's elevated wildfire rating (52nd percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Cove Forge
Cove Forge's 100% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Cove Forge's figures come from
Cove Forge's 52nd-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Cove Forge's dominant direct exposure actually means, with real examples from across the dataset.